ADO Guard MCP
Related Servers
Alternatives to ADO Guard MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables AI assistants to query and manage Azure DevOps projects, boards, work items, repos, pull requests, and pipelines while enforcing governance boundaries such as access modes, project scoping, protected projects, delete gating, and typed confirmations.1572 npm1MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to interact with Azure DevOps entities like projects, repositories, work items, pull requests, and pipelines.15 npm17MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Azure DevOps to manage work items, Git repositories, branches, commits, and projects through natural language commands.716 npm5MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Azure DevOps APIs for managing projects, work items, repositories, pull requests, pipelines, and more through natural language.4,244 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Azure DevOps for managing work items, repositories, wikis, and automating development workflows.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Azure DevOps repositories and pull requests, including listing PRs, fetching diffs, adding comments, and performing automated code reviews.-
TDQS
Scored across 9 tools
Each tool targets a distinct resource and action: list vs. get pairs (work items, PRs) are clearly differentiated, and search_work_items vs. get_work_item are explicitly distinguished in the descriptions. The two guard_ tools (audit log, policy) are also unambiguous.
All tools follow a consistent snake_case verb_noun pattern (list_projects, get_work_item, search_work_items, list_pipeline_runs). The guard_ prefix on two tools acts as a clear namespace rather than an inconsistency.
Nine tools is well-scoped for a guarded read surface over Azure DevOps. Each tool earns its place with no redundant or filler operations.
The read surface covers projects, work items, PRs and pipelines reasonably, but there are notable gaps: no repository listing, no single-pipeline or single-run detail, and no write operations (create/update/comment) anywhere. Some of this may be intentional for a guardrail server, but agents will hit dead ends for common detail and mutation workflows.